code: def __init__(self, **kwargs):
      # Implement logic to struct parameters
      #
      # self.remote_workers=[]
      # self.setup(params, backend, runner_cls, workers_per_node, workers_per_node)
      pass
  
imports: from bigdl.orca.learn.ray_estimator import BaseEstimator
  from bigdl.orca.ray import OrcaRayContext
  from bigdl.orca.data.file import enable_multi_fs_save, enable_multi_fs_load
  import io
  import torch
  import ray
  from ray.exceptions import RayActorError
  from abc import abstractmethod, ABCMeta
  from bigdl.orca.learn.pytorch.utils import find_free_port, check_for_failure
  from bigdl.orca.learn.utils import get_driver_node_ip
  from bigdl.dllib.utils.log4Error import invalidInputError, logging
  from typing import Dict
label_desc: Use image node_id 1 to create a new BaseRayEstimator object from inherited base classes: BaseEstimator with example: obj = BaseRayEstimator()